Matches in SemOpenAlex for { <https://semopenalex.org/work/W2594164625> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2594164625 abstract "While machine learning is a powerful tool for the analysis and classification of complex real-world datasets, it is still challenging, particularly for developers with limited expertise, to incorporate this technology into their software systems. The first step in machine learning, data labeling, is traditionally thought of as a tedious, unavoidable task in building a machine learning classifier. However, in this paper, we argue that it can also serve as the first opportunity for developers to gain insight into their dataset. Through a Label-and-Learn interface, we explore visualization strategies that leverage the data labeling task to enhance developers' knowledge about their dataset, including the likely success of the classifier and the rationale behind the classifier's decisions. At the same time, we show that the visualizations also improve users' labeling experience by showing them the impact they have made on classifier performance. We assess the visualizations in Label-and-Learn and experimentally demonstrate their value to software developers who seek to assess the utility of machine learning during the data labeling process." @default.
- W2594164625 created "2017-03-16" @default.
- W2594164625 creator A5015483503 @default.
- W2594164625 creator A5025035931 @default.
- W2594164625 creator A5042792975 @default.
- W2594164625 date "2017-03-07" @default.
- W2594164625 modified "2023-09-26" @default.
- W2594164625 title "Label-and-Learn" @default.
- W2594164625 cites W1990992533 @default.
- W2594164625 cites W1992492534 @default.
- W2594164625 cites W2003238113 @default.
- W2594164625 cites W2020796004 @default.
- W2594164625 cites W2042699031 @default.
- W2594164625 cites W2053075547 @default.
- W2594164625 cites W2124332348 @default.
- W2594164625 cites W2127058057 @default.
- W2594164625 cites W2128213565 @default.
- W2594164625 cites W2146388339 @default.
- W2594164625 cites W2155653793 @default.
- W2594164625 cites W2157018954 @default.
- W2594164625 cites W2157289187 @default.
- W2594164625 cites W2162409443 @default.
- W2594164625 cites W2165254944 @default.
- W2594164625 cites W4254385701 @default.
- W2594164625 cites W4298132949 @default.
- W2594164625 cites W884650706 @default.
- W2594164625 doi "https://doi.org/10.1145/3025171.3025208" @default.
- W2594164625 hasPublicationYear "2017" @default.
- W2594164625 type Work @default.
- W2594164625 sameAs 2594164625 @default.
- W2594164625 citedByCount "19" @default.
- W2594164625 countsByYear W25941646252018 @default.
- W2594164625 countsByYear W25941646252019 @default.
- W2594164625 countsByYear W25941646252020 @default.
- W2594164625 countsByYear W25941646252021 @default.
- W2594164625 countsByYear W25941646252022 @default.
- W2594164625 crossrefType "proceedings-article" @default.
- W2594164625 hasAuthorship W2594164625A5015483503 @default.
- W2594164625 hasAuthorship W2594164625A5025035931 @default.
- W2594164625 hasAuthorship W2594164625A5042792975 @default.
- W2594164625 hasConcept C107457646 @default.
- W2594164625 hasConcept C119857082 @default.
- W2594164625 hasConcept C153083717 @default.
- W2594164625 hasConcept C154945302 @default.
- W2594164625 hasConcept C199360897 @default.
- W2594164625 hasConcept C2522767166 @default.
- W2594164625 hasConcept C2777904410 @default.
- W2594164625 hasConcept C36464697 @default.
- W2594164625 hasConcept C41008148 @default.
- W2594164625 hasConcept C95623464 @default.
- W2594164625 hasConceptScore W2594164625C107457646 @default.
- W2594164625 hasConceptScore W2594164625C119857082 @default.
- W2594164625 hasConceptScore W2594164625C153083717 @default.
- W2594164625 hasConceptScore W2594164625C154945302 @default.
- W2594164625 hasConceptScore W2594164625C199360897 @default.
- W2594164625 hasConceptScore W2594164625C2522767166 @default.
- W2594164625 hasConceptScore W2594164625C2777904410 @default.
- W2594164625 hasConceptScore W2594164625C36464697 @default.
- W2594164625 hasConceptScore W2594164625C41008148 @default.
- W2594164625 hasConceptScore W2594164625C95623464 @default.
- W2594164625 hasLocation W25941646251 @default.
- W2594164625 hasOpenAccess W2594164625 @default.
- W2594164625 hasPrimaryLocation W25941646251 @default.
- W2594164625 hasRelatedWork W2556319748 @default.
- W2594164625 hasRelatedWork W2760222263 @default.
- W2594164625 hasRelatedWork W2888860667 @default.
- W2594164625 hasRelatedWork W2961085424 @default.
- W2594164625 hasRelatedWork W3200179079 @default.
- W2594164625 hasRelatedWork W4285260836 @default.
- W2594164625 hasRelatedWork W4286629047 @default.
- W2594164625 hasRelatedWork W4306321456 @default.
- W2594164625 hasRelatedWork W4306674287 @default.
- W2594164625 hasRelatedWork W4224009465 @default.
- W2594164625 isParatext "false" @default.
- W2594164625 isRetracted "false" @default.
- W2594164625 magId "2594164625" @default.
- W2594164625 workType "article" @default.